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Mastech Holdings (MS4A) Q3 2026 Earnings Report

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DE:MS4A Q3 2026 EPS Results

Actual EPS
EUR 0.09
Consensus EPS
EUR 0.07
Beat/Miss
Beat by +EUR 0.02
One Year Ago EPS
EUR 0.26

DE:MS4A Q3 2026 Revenue Results

Actual Revenue
EUR 37.84M
Expected Revenue
EUR 37.30M
Beat/Miss
Beat by +EUR 534.40K
YoY Revenue Growth
-13.42%

Earnings Announcement Details

Quarter
Q3 2026
Date
10/30/2026
Time
Before Open
Conference Call
Friday, October 30, 2026
DE:MS4A Upcoming Earnings

Mastech Holdings's next earnings date is estimated for February 10, 2027, based on past reporting schedules.

Q3 2026 Earnings Call Audio

DE:MS4A Q3 2026 Earnings Call
0:00 / 0:00

Q3 2026 Earnings Slide Deck

Q3 2026 Earnings Call Summary

Q3 2026
Earnings Call Date:Oct 30, 2026|% Change Since:-13.39%|
Earnings Call Sentiment|Neutral

The call presented a mixed but constructive picture. Mastech reported significant year-over-year declines in consolidated revenue, Talent revenue, gross profit, and quarterly and nine-month non-GAAP earnings, while Talent headcount also fell and fourth-quarter seasonality is expected. However, the company highlighted record bill rates, two consecutive quarters of sequential Data and AI growth, 29% year-over-year bookings growth, its largest AI deal to date, improving gross margin, solid liquidity, and continued investment in a new AI-focused strategy. The positive strategic and operational developments were meaningful but were balanced by weaker reported financial results.

Company Guidance

Mastech said it will not provide guidance during this call or in any subsequent one-on-one meetings or calls; it plans to continue to invest significantly in talent, competencies, and expanding its data and AI business, with a multi-year view and a goal of building capability ahead of demand, while noting it has $38 million roughly of cash and no debt. For the fourth quarter, it expects seasonal effects typical to the talent industry, including holiday related slowdowns and year-end completions, contract completions; beyond that, it said it does not necessarily provide guidance.

  • Knowledge-first Enterprise Vision and Brand LaunchMastech announced its Knowledge-first Enterprise vision and a new brand positioning centered on turning clients' data and knowledge into practical, scalable AI solutions. Management said early responses from strategic partners and customers have been very encouraging.
  • Three Core Offerings EstablishedMastech is aligning its business around applied AI, modern data, and AI governance, trust, and safety. Applied AI combines agentic technology with Mastech engineering talent to move solutions into production; modern data builds scalable, governed data foundations; and AI governance, trust, and safety provides security guardrails, governed data access, model routing, evaluations, and observability.
  • Continued Investment in AI CapabilitiesThe company plans to invest over the coming years in talent, skills, competencies, and capabilities needed to help customers adopt AI solutions at scale. Management said EDGE efficiencies are being reinvested into leadership and talent, competencies, and market growth initiatives.
  • Expanded Partner EcosystemMastech expanded its Microsoft competencies for applied AI delivery and continues to build expertise with Snowflake, Azure, and Databricks. The company said its Microsoft solution partner status for cloud and AI strengthens its ability to accelerate modern data capabilities.
  • Record Talent Segment Bill RateThe average bill rate reached a new Mastech record of $92.37, up from $89.65 a year ago, despite insourcing activity at one of the company's top 10 clients and the deliberate exit from certain low-margin, non-strategic positions.
  • Second Consecutive Quarter of Data and AI Sequential GrowthData and AI revenue increased 4.7% sequentially to $14.1 million. Management said this was the second consecutive quarter of sequential growth and the first time the segment had achieved that since 2024.
  • Strong Data and AI Bookings GrowthThird-quarter data and AI bookings totaled $10.8 million on a total contract value basis, up 29% from $8.4 million in the prior-year quarter. Management described the year-over-year increase as encouraging because the third quarter is typically a seasonally slower booking period.
  • Largest AI Deal to DateMastech secured its largest AI deal to date by expanding an existing client relationship through a new initiative. The engagement involves an agentic AI vendor and invoice audit platform built on AWS, using data extraction and reconciliation, human-in-the-loop controls, and a reusable data foundation. The client expects significant savings from the first run alone.
  • Reusable AI Platform and Solution LibraryManagement said the vendor and invoice audit platform is repeatable and is not viewed as a one-off project. Each engagement is expected to add to a reusable library of agentic skills and tools covering data extraction, knowledge layers, agent orchestration, governance, and human-in-the-loop controls.
  • Potential for Sticky and Recurring AI RelationshipsManagement said AI engagements can include platform development and have a level of stickiness as customers see successful outcomes. The company believes clients may expand relationships with AI partners that have demonstrated outcome capabilities, supporting larger-scale relationships.
  • Improved Gross MarginThird-quarter gross profit was $12.2 million, while gross margin improved by 50 basis points to 40.5% from 40.0% in the prior-year period.
  • Solid Liquidity and Balance SheetAs of September 30, 2026, Mastech had $37.9 million in cash, no bank debt outstanding, and $18.3 million of cash availability under its revolving credit facility. Days sales outstanding was 56 days, in line with the year-ago level and improved from the last few quarters.
  • Remaining Share Repurchase AuthorizationMastech did not repurchase shares during the third quarter, leaving the full $5 million available under its share repurchase program as of September 30, 2026.
  • Growing Customer Focus on Efficient AI DeploymentManagement said customers are increasingly asking how to deploy AI efficiently and improve return on investment. The company described conversations focused on the cost of producing AI outcomes and whether the resulting ROI justifies taking projects into production.

DE:MS4A Earnings History

DE:MS4A earnings history
Report DateFiscal QuarterForecast / EPSLast Year's EPSEPS YoY ChangePress Release
Feb 10, 20272026 (Q4)0.06-0.19――
Oct 30, 20262026 (Q3)0.070.090.26-65.52% (-0.17)
Aug 06, 20262026 (Q2)0.110.070.14-46.67% (-0.06)
May 15, 20262026 (Q1)0.090.100.0583.33% (+0.05)
Feb 19, 20262025 (Q4)0.180.190.21-8.70% (-0.02)
Nov 12, 20252025 (Q3)0.150.260.2126.09% (+0.05)
Aug 13, 20252025 (Q2)0.110.140.17-21.05% (-0.04)
May 16, 20252025 (Q1)0.090.050.050.00% (+0.00)
Feb 19, 20252024 (Q4)0.160.210.1109.09% (+0.11)
Nov 06, 20242024 (Q3)0.110.210.1109.09% (+0.11)

The table shows recent earnings report dates and whether the forecast was beat or missed. See the change in forecast and EPS from the previous year.

Beat Missed